The use of coherency to improve signal detection in dual-polarization weather radars

Journal of Atmospheric and Oceanic Technology

Volumn 26, Issue 11, 2009, Pages 2474-2487

  Ivić, Igor R ^a   Zrnić, Dušan S ^b   Yu, Tian You ^a  

^a University of Oklahoma   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION COEFFICIENT; CROSS CORRELATIONS; DETECTION SCHEME; DUAL-POLARIZATION WEATHER RADAR; DUAL-POLARIZATIONS; FALSE DETECTIONS; HYBRID APPROACH; OKLAHOMA; ON TIME; POLARIMETRIC RADARS; WEATHER RADARS; WEATHER SURVEILLANCE RADAR;

AUTOCORRELATION; CORRELATION DETECTORS; ELECTRIC FIELDS; POLARIZATION; RADAR; SIGNAL TO NOISE RATIO; SURVEILLANCE RADAR; TIME SERIES; WAVELET TRANSFORMS;

SIGNAL DETECTION;

AUTOCORRELATION; COMPUTER SIMULATION; DETECTION METHOD; ESTIMATION METHOD; POLARIZATION; RADAR; SIGNAL-TO-NOISE RATIO; THRESHOLD; TIME SERIES ANALYSIS; WEATHER STATION;

NORMAN; OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 73149083033     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009JTECHA1154.1     Document Type: Article

References (15)

1. Crum T. D., and R. L. Alberty, 1993: The WSR-88D and the WSR-88D Operational Support Facility. Bull. Amer. Meteor. Soc., 74, 1669-1687.
2. Doviak R. J., and D. S. Zrnić, 1993: Doppler Radar and Weather Observations. Academic Press, 562 pp.
3. Doviak R. J., V. Bringi, A. Ryzhkov, A. Zahrai, and D. Zrnić, 2000: Considerations for polarimetric upgrades to operational WSR-88D radars. J. Atmos. Oceanic Technol., 17, 257-278.
4. Erchard J. D., 1991: Estimation of radar detection and false alarm probabilities. IEEE Trans. Aerosp. Electron. Syst., 27, 255-260.
5. Keeler R. J., and R. E. Passarelli, 1990: Signal processing for atmospheric radars. Radar in Meteorology: Battan Memorial and 40th Anniversary Radar Meteorology Conference, D. Atlas, Ed., Amer. Meteor. Soc., 287-315.
6. Melnikov V. M., and D. S. Zrnić, 2004: Simultaneous transmission mode for the polarimetric WSR-88D: Statistical biases and standard deviations of polarimetric variables. NOAA/NSSL Rep., 84 pp.
7. Neyman J., and E. S. Pearson, 1933: On the problem of the most efficient tests of statistical hypotheses. Philos. Trans. Roy. Soc. London, A231, 289-337.
8. DR measurement consideration for a fast scan capability radar. Radio Sci., 20, 907-922.
9. Sachidananda M., and D. S. Zrnić, 1986: Differential propagation phase shift and rainfall rate estimation. Radio Sci., 21, 235-247.
10. Scharfenberg K. A., K. L. Elmore, E. Forren, V. Melnikov, and D. S. Zrnić, 2005: Estimating the impact of a 3-dB sensitivity loss on WSR-88D data. Preprints, 32nd Conf. on Radar Meteorology, Albuquerque, NM, Amer. Meteor. Soc., P12R.9. [Available online at http://ams.confex.com/ams/pdfpapers/96931.pdf].
11. SIGMET, 2006: Processing algorithms. RVP8 Digital IF Receiver/Doppler Signal Processor User's Manual, 63 pp.
12. Stumpf G. J., A. Witt, E. D. W. Mitchell, P. L. Spencer, J. T. Johnson, M. D. Eilts, K. W. Thomas, and D. W. Burgess, 1998: The National Severe Storms Laboratory mesocyclone detection algorithm for the WSR-88D. Wea. Forecasting, 13, 304-326.
13. Swerling P., 1954: Probability of detection for fluctuating targets. U.S. Air Force Project Rand Research Memo. RM-1217, 45 pp.
14. Zrnić D. S., 1975: Simulation of weatherlike Doppler spectra and signals. J. Appl. Meteor., 14, 619-620.
15. Zrnić D. S., and A. Zahrai, 2003: Evolution of weather surveillance radars NSSL's perspective. Preprints, 31st Int. Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., 12B.1. [Available online at http://ams.confex.com/ams/pdfpapers/63324.pdf].